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QUANTITATIVE ANALYSIS

Master in Business Administration

C O U R S E      S Y L L A B U S

Quantitative Analysis

Course Code: QA
Faculty: 

Prof. Purba Rao

Class: MBA 2009

Course Objective:

To give our students a conceptual background to the use of numerous mathematical and statistical tools and techniques which are available nowadays for decision-making purposes. The course has Since 30 sessions, of which 21 sessions are caseroom based and 9 sessions are field based. We only cover the topics which are most predominantly used by Asian managers in this region. This is done with the objective that since there is not enough time to cover, in detail, all of the topics which are found in Statitics/Management Science textbooks, only the chapters which are mostly applied are taken up with the intent that our future managers would be able to use these techniques profusely in decision making.

The course would have 3 modules I the caseroom:
1) Probability module
2) Sampling and hypothesis testing module
3) Modeling module encompassing regression, project management and simulation

Module Outline

Session
1&2 Topic: Review of Probability Theory
Read: Chapter 2
Introduction to Probability
(exercises to be distributed subsequently)
3

Topic: Decision Analysis
Case: Harit Philippines Inc.
Read: Decision Theory I

4

Topic: Decision Tree
Case: Forever Oil fields Company
Read Decision Theory II

5 Case:   Weston Manufacturing
6

Topic: Conditional Probability
Case: Ikan Cedap Cannery
Read Decision Theory II

7

Topic: Probability Distributions/Binomial /Poisson/Normal
Read : Chapter 3 :Probability Distributions

Sampling and Hypothesis Testing Module

8

Topic: Sampling Methods and Central Limit Theorem Estimation
and confidence intervals
Read : Chapter 8/9

9

Topic : One sample/two sample tests of Hypothesis
Read : Chapter 10/11

10 Analysis of Variance
Read : Chapter 12
11

Topic: Nonparametric tests Chi square test of independence

Module on Modeling Outline

12&13 Topic : Simple regression analysis and correlation
Case: Ma Chow Ling
14 Theory/Framework for Multiple Regression
Case : Valley Litho Company
15 Topic: Multiple Linear Regression Discussion
Case: Valley Litho Company (continuation)
16 Case: Duport Company
17&18 Topic: Time Series with Seasonality
Case: Kool Kamp
19 Topic: Simulation
Case : North Western Company
20 Case:  Wilton Toy Company
21 Simulation Exercises
22&24 Field Work:
Readings:
1. Chi-Square & Other Non Parametric Stats
2. Analysis of Variance
25&27 Field Work
Non-Classroom Activity
28&30 Final Exam

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